Using AI for matching patents with technical standards across the mobile industry
Project overview
Deeper Insights partnered with a global organisation representing prominent mobile operator brands. The project centred on harnessing artificial intelligence to refine the alignment of patents with technical standards in the mobile industry. Through the development of an innovative solution, our objective was to enhance the efficiency of mapping and extracting pertinent patent sections and correlating them with corresponding sections in industry standards. This undertaking empowered our client to drive innovation more effectively within the mobile industry.
The challenge
Deeper Insights worked with a global organisation who represent leading mobile operator brands. The company wanted to find a better way to map and extract sections of a patent to relevant sections in a standard.
Their current method of extracting patents consisted of expert patent attorneys manually annotating hundreds of documents. This was time-consuming, taking highly skilled workers one hour per document, and causing a bottleneck to scaling the data creation process, or indeed establishing a desired automated end-to-end system.
Deeper Insights have developed data scraping and automation tools using Natural Language Processing (NLP) and Machine Learning (ML) techniques to uniquely identify features for extraction within an unstructured document.
The solution
Using these technologies as well as custom engineering and data science approaches enabled Deeper Insights to create a patent and standards dataset that could be trained to automatically find relevant patents, and sections within patents, that are predicted to be essential to a standard.
The end result
The solution has enabled the goal of providing an industry-ready service for the exploration of data and analytics for technical standards and related Patents to become highly automated, slashing manual processing and saving many thousands of hours.
Next steps
A variety of technologies and techniques were utilised in the development of this application. To gain a further understanding of the technology and services offered by Deeper Insights, please inquire for more information or visit our services page.
In numbers
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